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Maximum Temperature of Lithium-Ion Batteries Pack Design Optimization Using Taguchi Method


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DOI: https://doi.org/10.15866/iremos.v16i4.23740

Abstract


Because of its exceptional qualities, such as high energy density, extended lifespan, and low self-discharge, lithium-ion (Li-ion) batteries have grown in popularity in recent years. However, the maximum temperature that these batteries can endure while in use is essential to their safety and effectiveness. The Taguchi technique, a statistical strategy that permits efficient evaluation of multiple experimental parameters, has been utilized by the researchers to improve this. This study has changed six input elements, each with five levels, including battery diameter, height, capacity, activation energy, density, and final state of charge, in order to identify the best settings to optimize the maximum temperature of lithium ion batteries. The study's findings have been validated by using an analysis of variance (ANOVA). The study has discovered that the diameter and the height of the battery have been the most critical parameters in determining the maximum temperature of the battery. This approach discovers perfect circumstances that can increase Li-ion battery performance and potentially broaden their use in a variety of applications. In order to simulate the design, the researchers have used the COMSOL Multiphysics software to create a Li-ion battery pack that could withstand 50°C and have conducted a transient analysis over 0.2 hours in order to observe the increase in temperature due to internal resistance, electrochemical reactions, and ambient temperature. This approach can eliminate design problems that arise from the traditional trial-and-error method by tuning the control parameters examined in this study. This approach can streamline the design process of Li-ion battery packs for specific applications, making it more efficient.
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Keywords


Lithium-Ion Batteries Pack Design; Taguchi Method; Maximum Temperature; COMSOL Multiphysics Software; Analysis of Variance (ANOVA); State of Charge; Open Circuit Voltage

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References


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